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AI procedures joined with wearable gadgets can convey exact transient blood glucose level forecast models. Also, such models can learn customized glucose-insulin elements dependent on the sensor information gathered by observing a few parts…

Machine Learning · Computer Science 2021-01-22 Ignacio Rodriguez

Type 1 diabetes (T1D) is an autoimmune disorder that leads to the destruction of insulin-producing cells, resulting in insulin deficiency, as to why the affected individuals depend on external insulin injections. However, insulin can…

Machine Learning · Computer Science 2026-04-27 Beyza Cinar , Maria Maleshkova

Precise and timely forecasting of blood glucose levels is essential for effective diabetes management. While extensive research has been conducted on Type 1 diabetes mellitus, Type 2 diabetes mellitus (T2DM) presents unique challenges due…

Computational Engineering, Finance, and Science · Computer Science 2024-09-12 Yuyang Sun , Panagiotis Kosmas

Understanding how biomarker distributions evolve over time is a central challenge in digital health and chronic disease monitoring. In diabetes, changes in the distribution of glucose measurements can reveal patterns of disease progression…

Machine Learning · Statistics 2026-03-26 Antonio Álvarez-López , Marcos Matabuena

We develop a new model of insulin-glucose dynamics for forecasting blood glucose in type 1 diabetics. We augment an existing biomedical model by introducing time-varying dynamics driven by a machine learning sequence model. Our model…

Machine Learning · Statistics 2020-08-10 Andrew C. Miller , Nicholas J. Foti , Emily Fox

While the Artificial Pancreas is effective in regulating the blood glucose in the safe range of 70-180 mg/dl in type 1 diabetic patients, the high intra-patient variability, as well as exogenous meal disturbances, poses a serious challenge.…

Systems and Control · Electrical Eng. & Systems 2022-06-30 Bhabani Shankar Dey , Anirudh Nath , Abhilash Patel , Indra Narayan Kar

With continuous glucose monitoring (CGM), data-driven models on blood glucose prediction have been shown to be effective in related work. However, such (CGM) systems are not always available, e.g., for a patient at home. In this work, we…

Computers and Society · Computer Science 2024-04-10 Tu Nguyen , Markus Rokicki

Type 1 Diabetes (T1D) is a chronic condition where the body produces little or no insulin, a hormone required for the cells to use blood glucose (BG) for energy and to regulate BG levels in the body. Finding the right insulin dose and time…

Machine Learning · Computer Science 2024-11-28 Isabella Degen , Zahraa S. Abdallah

Medical practice in the intensive care unit is based on the supposition that physiological systems such as the human glucose-insulin system are predictable. We demonstrate that delay within the glucose-insulin system can induce sustained…

Dynamical Systems · Mathematics 2021-04-15 Bhargav Karamched , George Hripcsak , Dave Albers , William Ott

Continuous glucose monitoring (CGM) is a minimally invasive technology that measures blood glucose every few minutes for weeks or months at a time. CGM data are often collected in the free-living environment and is strongly related to…

Methodology · Statistics 2025-09-04 Marcos Matabuena , Ciprian M. Crainiceanu

Continuous Blood Glucose (CGM) monitors have revolutionized the ability of diabetics to manage their blood glucose, and paved the way for artificial pancreas systems. In this paper we augment CGM data with sensor input collected by a smart…

Human-Computer Interaction · Computer Science 2023-02-06 Sam Royston

Type 1 diabetes (T1D) is a highly metabolically heterogeneous disease that cannot be adequately characterized by conventional biomarkers such as glycated hemoglobin (HbA1c). This study proposes an explainable deep learning framework that…

Machine Learning · Computer Science 2026-01-09 Pir Bakhsh Khokhar , Carmine Gravino , Fabio Palomba , Sule Yildrim Yayilgan , Sarang Shaikh

Diabetes cases worldwide have risen steadily over the past decades, lending urgency to the search for more efficient, effective, and personalized ways to treat the disease. Current treatment strategies, however, may fail to maintain…

Tissues and Organs · Quantitative Biology 2014-03-05 S. M. Kissler , C. Cichowitz , S. Sankaranarayanan , D. M. Bortz

The human insulin-glucose metabolism is a time-varying process, which is partly caused by the changing insulin sensitivity of the body. This insulin sensitivity follows a circadian rhythm and its effects should be anticipated by any…

Systems and Control · Electrical Eng. & Systems 2021-01-29 Lukas Ortmann , Dawei Shi , Eyal Dassau , Francis J. Doyle , Berno J. E. Misgeld , Steffen Leonhardt

Diabetes is one of the most prevalent diseases worldwide, characterized by persistently high blood sugar levels, capable of damaging various internal organs and systems. Diabetes patients require routine check-ups, resulting in a time…

Machine Learning · Computer Science 2025-05-13 Onthada Preedasawakul , Nathakhun Wiroonsri

A composite, exponential relaxation function, modulated by a periodic component, was used to fit to an experimental time series of blood glucose levels. The 11 parameters function that allows for the detection of a possible rhythm…

Quantitative Methods · Quantitative Biology 2008-01-30 Baruch Vainas

Personal health devices can enable continuous monitoring of health parameters. However, the benefit of these devices is often directly related to the frequency of use. Therefore, adherence to personal health devices is critical. This paper…

Computers and Society · Computer Science 2020-06-11 Sudip Vhaduri , Temiloluwa Prioleau

Patients with Type I Diabetes (T1D) must take insulin injections to prevent the serious long term effects of hyperglycemia - high blood glucose (BG). Patients must also be careful not to inject too much insulin because this could induce…

Machine Learning · Computer Science 2019-04-01 Neil C. Borle , Edmond A. Ryan , Russell Greiner

Type 1 Diabetes is a chronic autoimmune condition in which the immune system attacks and destroys insulin-producing beta cells in the pancreas, resulting in little to no insulin production. Insulin helps glucose in your blood enter your…

Quantitative Methods · Quantitative Biology 2025-02-04 Soon Jynn Chu , Nalaka Amarasiri , Sandesh Giri , Priyata Kafle

Rapid changes in blood glucose levels can have severe and immediate health consequences, leading to the need to develop indices for assessing these rapid changes based on continuous glucose monitoring (CGM) data. We proposed a CGM index,…

Quantitative Methods · Quantitative Biology 2025-06-17 Dandan Wang , Xiaoyan Chen , Jingxiang Lin , Teng Zhang , Lianyi Huang , Dongliang Leng , Xiaohua Douglas Zhang , Gang Li
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